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HOSVD-based limited feedback and precoding design for massive MIMO systems

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Massive multiple-input multiple-output (MIMO) systems hold the potential to achieve high spectral efficiencies in future wireless systems. As the number of antennas of the base station (BS) increases, downlink channel quantization for frequency division duplex (FDD) based systems becomes difficult, and most of the works on massive MIMO assume time division duplexing (TDD) to sidestep these challenges by employing channel reciprocity. In this paper, we propose to apply the higher-order singular value decomposition (HOSVD) of the MIMO channel matrix and design a new limited feedback and precoding scheme, which aims at solving the problem of high dimensionality led by large antenna array. The proposed scheme can reduce the complexity of channel quantization, the number of bits for feedback and the computational complexity of precoding matrix. Simulation results demonstrate that the performance of the proposed scheme is nearly the same with the singular value decomposition (SVD) based scheme in single-user MIMO and block diagonalization zero-forcing scheme in multi-user MIMO when using quantized channel feedback.

Original languageEnglish
Title of host publication2016 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509021369
DOIs
StatePublished - 7 Oct 2016
Event2016 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Publication series

Name2016 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2016

Conference

Conference2016 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2016
Country/TerritoryChina
CityChengdu
Period27/07/1629/07/16

Keywords

  • CSI quantization
  • limited feedback
  • massive MIMO
  • precoding
  • tensor decomposition

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